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Method and System for Recommending Users for Purchase of New Products based on Life-Span of Existing Products

IP.com Disclosure Number: IPCOM000239806D
Publication Date: 2014-Dec-03
Document File: 2 page(s) / 19K

Publishing Venue

The IP.com Prior Art Database

Related People

Satyajit Rai: INVENTOR [+3]

Abstract

A method and system is disclosed for recommending users for purchase of new products based on life-span of existing products. The method and system focuses on recommending the purchase of products when users are most likely in need of such products, thereby allowing users to buy required products in advance.

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Method and System for Recommending Users for Purchase of New Products based on Life-Span of Existing Products

Abstract

A method and system is disclosed for recommending users for purchase of new products based on life-span of existing products.  The method and system focuses on recommending the purchase of products when users are most likely in need of such products, thereby allowing users to buy required products in advance.

Description

Disclosed is a method and system for recommending users for purchase of new products based on life-span of existing products.  The method and system identifies life-span of existing products i.e. products that are owned by users.  The life-span of the existing products is determined based on purchase history of the users.  The method and system then recommends purchase of related products or repurchase of new stock of the existing products when the users are most likely in need for replacement or refill.  The products that are recommended for purchase can be related to different domains such as, but not limited to, medicines, home provisions, fuel, car tires, industrial or hospital requirements and day care necessities. 

In one implementation, the need for replacement of the existing products is predicted based on purchase quantity, user per time unit and units consumed per use.  The purchase quantity of the products is determined from previous purchase information such as, for example, count, grams and milliliters for medicines, and weight, volume for food.  Alternatively or additionally, other data sources are utilized for mining information regarding purchase of same product and quantity by the same user.  Thereafter, use per time unit regarding quantity of the purchased products is determined based on historical fact or amount of units required to be consumed per unit of time such as, for example, a medicine is needed to be consumed one per day, a single tea bag...